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Waist-to-height ratio remains an accurate and practical way of identifying cardiometabolic risks in children and adolescents.
Jiang, Yuan; Dou, Ya-Lan; Xiong, Feng; Zhang, Lan; Zhu, Gao-Hui; Wu, Ting; Zhang, Yi; Yan, Wei-Li.
Afiliación
  • Jiang Y; Department of Clinical Epidemiology, Children's Hospital of Fudan University, Shanghai, China.
  • Dou YL; Department of Clinical Epidemiology, Children's Hospital of Fudan University, Shanghai, China.
  • Xiong F; Department of Endocrinology, Children's Hospital of Chongqing Medical University, Chongqing, China.
  • Zhang L; Department of Child Healthcare, Chengdu Women& Children's Central Hospital, Chengdu, China.
  • Zhu GH; Department of Endocrinology, Children's Hospital of Chongqing Medical University, Chongqing, China.
  • Wu T; Department of Child Healthcare, Chengdu Women& Children's Central Hospital, Chengdu, China.
  • Zhang Y; Department of Clinical Epidemiology, Children's Hospital of Fudan University, Shanghai, China.
  • Yan WL; Department of Clinical Epidemiology, Children's Hospital of Fudan University, Shanghai, China.
Acta Paediatr ; 2018 Mar 22.
Article en En | MEDLINE | ID: mdl-29569350
ABSTRACT

AIM:

We evaluated how effectively the waist-to-height ratio (WHtR) identified cardiometabolic risk (CMR) in children and adolescents, compared with the tri-ponderal mass index, percentage of body fat and other obesity indexes.

METHODS:

Eligible subjects were recruited from three metropolitan regions of China from May 2013 to June 2014. Subjects with at least three of the following abnormalities - hypertension, dyslipidemia, elevated fasting blood glucose and central obesity - were defined as CMR1 and children with at least two were defined as CMR2. The area under the curve (AUC) of the receiver operating characteristic curve was used to compare how effectively obesity indexes predicted CMR.

RESULTS:

We recruited 3556 subjects aged 7-18 years. All five obesity indexes showed good, comparable performances in identifying CMR and the AUCs ranged from 0.89 to 0.90 for CMR1 and 0.83 to 0.85 for CMR2. The cut-off of 0.467 for WHtR achieved a sensitivity of 0.91 and specificity of 0.80 for predicting CMR1, with the best cut-offs being 0.463 for boys and 0.469 for girls.

CONCLUSION:

The WHtR was a superior and practical screening tool for detecting CMR in this paediatric population, as it provided comparable accuracy to other methods and just required a simple calculation.
Palabras clave

Texto completo: 1 Base de datos: MEDLINE Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Acta Paediatr Año: 2018 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Base de datos: MEDLINE Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Acta Paediatr Año: 2018 Tipo del documento: Article País de afiliación: China